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Journal Abstract Search

163 related items for PubMed ID: 21679454

  • 1. Noise reduction in protein-protein interaction graphs by the implementation of a novel weighting scheme.
    Kritikos GD, Moschopoulos C, Vazirgiannis M, Kossida S.
    BMC Bioinformatics; 2011 Jun 16; 12():239. PubMed ID: 21679454
    [Abstract] [Full Text] [Related]

  • 2. Evaluation of clustering algorithms for protein-protein interaction networks.
    Brohée S, van Helden J.
    BMC Bioinformatics; 2006 Nov 06; 7():488. PubMed ID: 17087821
    [Abstract] [Full Text] [Related]

  • 3. Identifying protein complexes by reducing noise in interaction networks.
    Liao B, Fu X, Cai L, Chen H.
    Protein Pept Lett; 2014 Jul 06; 21(7):688-95. PubMed ID: 24654850
    [Abstract] [Full Text] [Related]

  • 4. MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure.
    Srihari S, Ning K, Leong HW.
    BMC Bioinformatics; 2010 Oct 12; 11():504. PubMed ID: 20939868
    [Abstract] [Full Text] [Related]

  • 5. Markov clustering versus affinity propagation for the partitioning of protein interaction graphs.
    Vlasblom J, Wodak SJ.
    BMC Bioinformatics; 2009 Mar 30; 10():99. PubMed ID: 19331680
    [Abstract] [Full Text] [Related]

  • 6. An automated method for finding molecular complexes in large protein interaction networks.
    Bader GD, Hogue CW.
    BMC Bioinformatics; 2003 Jan 13; 4():2. PubMed ID: 12525261
    [Abstract] [Full Text] [Related]

  • 7. A hybrid clustering algorithm for identifying modules in Protein-Protein Interaction networks.
    Yu L, Gao L, Sun PG.
    Int J Data Min Bioinform; 2010 Jan 13; 4(5):600-15. PubMed ID: 21133044
    [Abstract] [Full Text] [Related]

  • 8. A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
    Ou-Yang L, Yan H, Zhang XF.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):463. PubMed ID: 29219066
    [Abstract] [Full Text] [Related]

  • 9. Detecting non-uniform clusters in large-scale interaction graphs.
    Levtov N, Amberkar S, Frenkel ZM, Kaderali L, Volkovich Z.
    J Comput Biol; 2014 Feb 01; 21(2):173-83. PubMed ID: 24050498
    [Abstract] [Full Text] [Related]

  • 10. Identification of functional modules in a PPI network by clique percolation clustering.
    Zhang S, Ning X, Zhang XS.
    Comput Biol Chem; 2006 Dec 01; 30(6):445-51. PubMed ID: 17098476
    [Abstract] [Full Text] [Related]

  • 11. Protein Complexes Prediction Method Based on Core-Attachment Structure and Functional Annotations.
    Li B, Liao B.
    Int J Mol Sci; 2017 Sep 06; 18(9):. PubMed ID: 28878201
    [Abstract] [Full Text] [Related]

  • 12. A Seed Expansion Graph Clustering Method for Protein Complexes Detection in Protein Interaction Networks.
    Wang J, Zheng W, Qian Y, Liang J.
    Molecules; 2017 Dec 08; 22(12):. PubMed ID: 29292776
    [Abstract] [Full Text] [Related]

  • 13. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.
    Theofilatos K, Pavlopoulou N, Papasavvas C, Likothanassis S, Dimitrakopoulos C, Georgopoulos E, Moschopoulos C, Mavroudi S.
    Artif Intell Med; 2015 Mar 08; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 14. Diffusion model based spectral clustering for protein-protein interaction networks.
    Inoue K, Li W, Kurata H.
    PLoS One; 2010 Sep 07; 5(9):e12623. PubMed ID: 20830307
    [Abstract] [Full Text] [Related]

  • 15. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Sep 07; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 16. Protein complex prediction based on mutually exclusive interactions in protein interaction network.
    Jung SH, Jang WH, Hur HY, Hyun B, Han DS.
    Genome Inform; 2008 Sep 07; 21():77-88. PubMed ID: 19425149
    [Abstract] [Full Text] [Related]

  • 17. Assessment of high-confidence protein-protein interactome in yeast.
    Karagoz K, Arga KY.
    Comput Biol Chem; 2013 Aug 07; 45():1-8. PubMed ID: 23608186
    [Abstract] [Full Text] [Related]

  • 18. A novel link prediction algorithm for reconstructing protein-protein interaction networks by topological similarity.
    Lei C, Ruan J.
    Bioinformatics; 2013 Feb 01; 29(3):355-64. PubMed ID: 23235927
    [Abstract] [Full Text] [Related]

  • 19. Detecting Protein Complexes Based on Uncertain Graph Model.
    Zhao B, Wang J, Li M, Wu FX, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Feb 01; 11(3):486-97. PubMed ID: 26356017
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  • 20. How and when should interactome-derived clusters be used to predict functional modules and protein function?
    Song J, Singh M.
    Bioinformatics; 2009 Dec 01; 25(23):3143-50. PubMed ID: 19770263
    [Abstract] [Full Text] [Related]

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